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Publié le mois dernier

Test Engineer (Data)

@ Hays

Toutes ses offres Site Web

Toronto, Ontario

105k–135k $/anTemps plein2+ ans d’expérience
Postuler
SIGNAUX

En bref

Hays is hiring a Test Engineer (Data) on a permanent full-time basis in Toronto, hybrid with 3 days per week on-site. The role builds automated testing frameworks for Databricks pipelines, Delta Lake tables and data quality validation in a Lakehouse architecture. Pay is CAD $105,000 to $135,000.

Salaire :

105 000 $–135 000 $ par année

Responsabilités :

  • Automate testing for ETL/ELT processes in Databricks
  • Design automated testing for notebooks, workflows and Delta Lake tables
  • Design and execute data quality test strategies
  • Implement pipeline monitoring and automated test dashboards

Résumé des exigences :

  • Bachelor's degree in Computer Science, Data Science or related field
  • 2+ years hands-on Databricks (Spark) experience
  • Strong Python (PySpark) and SQL programming
  • Knowledge of AWS services (S3, Glue, Lambda) and Git

Outils et compétences

DatabricksPySparkDelta LakeUnity CatalogAWS S3AWS GlueAWS LambdaGitClaude Code
Source et dates

Site carrière / système de candidatures · careerpage

Date publiée par l’employeur
2026-09-29
Première détection par notre source
2026-10-11
Mise à jour du dossier source
2026-10-11

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauIntermédiaire
DomaineDéveloppement logiciel
Expérience2 an(s) et plus
Heures par semaine40 (estimé)
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé)
Domaines d’étudesComputer Science, Data Science

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler
ChampValeur
Offres sur Jobsy248
Description

Test Engineer (Data)

Job Type: Permanent

Pay Rate/Salary: CAD $105,000 to CAD $135,000

Location: Hybrid: 3 days per week on-site Toronto

Your New Role

As a Test Engineer - Data, you will be responsible for developing and implementing automated testing frameworks for Databricks-based solutions, data pipelines, and data quality validation. You will work closely with data engineering teams to ensure data accuracy and reliability across our Lakehouse architecture.

What You Need to Do

  • Data Pipeline Testing
  • Automate testing for ETL/ELT processes in Databricks
  • Implement Spark job testing and optimization validation
  • Create test cases for data ingestion and processing workflows
  • Develop automated checks for data transformations
  • Test Unity Catalog features and access controls
  • Databricks Testing
  • Design and implement automated testing for Databricks notebooks and workflows
  • Create test frameworks for Delta Lake tables and ACID transactions
  • Develop automated validation for structured streaming pipelines
  • Validate Delta Live Tables implementations
  • Quality Assurance
  • Design and execute data quality test strategies
  • Implement automated data reconciliation processes
  • Develop performance testing for large-scale Spark jobs
  • Monitoring & Reporting
  • Implement pipeline monitoring test frameworks
  • Create automated test dashboards
  • Generate quality metrics and testing reports
  • Maintain comprehensive test documentation


What You'll Need to Succeed:

  • Educational Background
  • Bachelor’s degree in Computer Science, Data Science, or related field
  • Relevant certifications in Databricks or data testing are a plus
  • Technical Experience
  • 2+ years hands-on experience with Databricks (Spark)
  • Strong programming skills in Python (PySpark) and SQL
  • Experience with data testing frameworks and tools
  • Proficiency with AI coding agents such as Claude Code, Cursor, Kiro
  • Knowledge of AWS services (S3, Glue, Lambda)
  • Understanding of Delta Lake and Lakehouse architecture
  • Experience with version control systems (Git)
  • Additional Skills
  • Strong analytical and problem-solving abilities
  • Experience with large-scale data processing
  • Knowledge of data quality best practices
  • Understanding of data governance and compliance requirements
  • Experience with Agile methodologies
  • Platform Knowledge
  • Databricks workspace and notebook development
  • Delta Lake and Delta Live Tables
  • Unity Catalog for governance testing
  • Spark optimization and performance testing

What You'll Get in Return:

You will have the opportunity to work with a talented team of professionals in a dynamic and supportive environment. Client is offering competitive compensation, professional development opportunities, and the chance to make a significant impact on our clients' success.

What You Need to Do Now:

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.


This posting is for an existing vacancy with the organization.

AI may be used to screen, assess or select applicants for the position.


#LI-DNI
#1126958 - Shivangi Gupta

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